Publications by authors named "M Fauvernier"
In the era of biological treatments and small molecules, this study assessed therapeutic patient education (TPE) in managing adult atopic dermatitis (AD), focusing on disease severity, quality of life, and the use of systemic treatments. This multicentre study included 260 adult AD patients, with 184 undergoing a full TPE programme and 76 control patients. Evaluations included disease severity, quality of life (DLQI), and systemic treatment use.
View Article and Find Full Text PDFIn most developed countries, both organized screening (OrgS) and opportunistic screening (OppS) coexist. The literature has extensively covered the impact of organized screening on women's survival after breast cancer. However, the impact of opportunistic screening has been less frequently described due to the challenge of identifying the target population.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to explore and describe the sexual issues faced by females with cystic fibrosis (CF), an area that has been largely overlooked in previous research.
- The research involved adult females with CF who were currently or previously in sexual relationships, collecting data through a questionnaire and one-on-one interviews to gain deeper insights into their experiences.
- Results indicated that a significant majority (93.4%) experienced discomfort during intercourse, with common issues including lack of lubrication and pain, highlighting the need for increased awareness and better management of sexual health concerns among females with CF.
Background: In descriptive epidemiology, there are strong similarities between incidence and survival analyses. Because of the success of multidimensional penalized splines (MPSs) in incidence analysis, we propose in this pedagogical paper to show that MPSs are also very suitable for survival or net survival studies.
Methods: The use of MPSs is illustrated in cancer epidemiology in the context of survival trends studies that require specific statistical modelling.
Over the last few years, several review articles described the adverse events analysis as sub-optimal in clinical trials. Indeed, the context surrounding adverse events analyses often imply an overwhelming number of events, a lack of power to find associations, but also a lack of specific training regarding those complex data. In randomized controlled trials or in observational studies, comparing the occurrence of adverse events according to a covariable of interest (e.
View Article and Find Full Text PDF